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computational fluid dynamics and wind turbine fluid mechanics together with the ability to understand the aerodynamics of wind energy generation and floating body dynamics is essential. Informal enquiries may be
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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literacy and managing online behaviours over the past two decades. We are looking for an individual who is interested in carrying out the project’s research programme under the supervision of Dr Ekaterina
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and PalaeoGradPhan. Both projects focus on the relationship between ocean circulation and surface ocean...
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post is funded by ERC (or UKRI) and is fixed term to 31 December 2028. We are seeking two candidates...
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry